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  1. README.md +8 -35
README.md CHANGED
@@ -62,34 +62,6 @@ dataset_info:
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  num_examples: 73
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  download_size: 65309164
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  dataset_size: 262914
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- - config_name: default
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- features:
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- - name: audio
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- dtype:
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- audio:
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- sampling_rate: 44100
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- - name: mel
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- dtype: image
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- - name: label
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- dtype: int8
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- - name: score1
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- dtype: float64
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- - name: score2
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- dtype: float64
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- - name: avg_score
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- dtype: float64
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- splits:
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- - name: train
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- num_bytes: 213644
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- num_examples: 537
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- - name: validation
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- num_bytes: 26664
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- num_examples: 67
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- - name: test
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- num_bytes: 27088
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- num_examples: 68
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- download_size: 595425921
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- dataset_size: 267396
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  configs:
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  - config_name: timbre
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  data_files:
@@ -122,6 +94,7 @@ Chinese, English
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  ## Dataset Structure
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  <https://huggingface.co/datasets/ccmusic-database/timbre_range/viewer>
 
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  ### Data Instances
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  .zip(.wav, .jpg), .csv
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@@ -153,7 +126,7 @@ for item in ds["test"]:
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  ### Range subset
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  ```python
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  from datasets import load_dataset
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- # default subset
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  ds = load_dataset("ccmusic-database/timbre_range", name="range")
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  for item in ds["train"]:
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  print(item)
@@ -171,6 +144,9 @@ GIT_LFS_SKIP_SMUDGE=1 git clone git@hf.co:datasets/ccmusic-database/timbre_range
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  cd timbre_range
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  ```
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  ## Dataset Creation
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  ### Curation Rationale
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  Promoting the development of music AI industry
@@ -202,22 +178,19 @@ Most are Chinese songs
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  ### Other Known Limitations
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  Samples are not balanced enough
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- ## Mirror
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- <https://www.modelscope.cn/datasets/ccmusic-database/timbre_range>
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-
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  ## Additional Information
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  ### Dataset Curators
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  Zijin Li
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  ### Evaluation
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- [1] [Yiliang, J. et al. (2019) Data Augmentation based Convolutional Neural Network for Auscultation’, Journal of Fudan University(Natural Science), pp. 328334. doi:10.15943/j.cnki.fdxb-jns.2019.03.004.](https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2019&filename=FDXB201903004&uniplatform=NZKPT&v=VAszHDtjPUYMi3JYVrdSGx4fcqlEtgCeKwRGTacCj98CGEQg5CUFHxakrvuaMzm3)
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  ### Citation Information
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  ```bibtex
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  @article{2019Data,
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  title={Data Augmentation based Convolutional Neural Network for Auscultation},
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- author={ Yiliang, Jiang and Xulong, Zhang and Jin, Deng and Wenqiang, Zhang and Wei, L. I. },
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- journal={Journal of Fudan University(Natural Science)},
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  year={2019},
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  }
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  ```
 
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  num_examples: 73
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  download_size: 65309164
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  dataset_size: 262914
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  configs:
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  - config_name: timbre
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  data_files:
 
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  ## Dataset Structure
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  <https://huggingface.co/datasets/ccmusic-database/timbre_range/viewer>
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+
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  ### Data Instances
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  .zip(.wav, .jpg), .csv
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  ### Range subset
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  ```python
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  from datasets import load_dataset
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+
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  ds = load_dataset("ccmusic-database/timbre_range", name="range")
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  for item in ds["train"]:
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  print(item)
 
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  cd timbre_range
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  ```
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+ ## Mirror
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+ <https://www.modelscope.cn/datasets/ccmusic-database/timbre_range>
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+
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  ## Dataset Creation
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  ### Curation Rationale
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  Promoting the development of music AI industry
 
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  ### Other Known Limitations
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  Samples are not balanced enough
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  ## Additional Information
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  ### Dataset Curators
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  Zijin Li
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  ### Evaluation
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+ [1] [Yiliang, J. et al. (2019) 'Data Augmentation based Convolutional Neural Network for Auscultation', Journal of Fudan University(Natural Science), pp. 328-334. doi:10.15943/j.cnki.fdxb-jns.2019.03.004.](https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2019&filename=FDXB201903004&uniplatform=NZKPT&v=VAszHDtjPUYMi3JYVrdSGx4fcqlEtgCeKwRGTacCj98CGEQg5CUFHxakrvuaMzm3)
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  ### Citation Information
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  ```bibtex
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  @article{2019Data,
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  title={Data Augmentation based Convolutional Neural Network for Auscultation},
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+ author={Yiliang Jiang and Xulong Zhang and Jin Deng and Wenqiang Zhang and Wei Li},
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+ journal={Journal of Fudan University (Natural Science)},
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  year={2019},
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  }
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  ```